标题/作者	年份
A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... arXiv preprint arXiv:2107.03342	2021
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids S Aslam, H Herodotou, SM Mohsin, N Javaid, N Ashraf, S Aslam Renewable and Sustainable Energy Reviews 144, 110992	2021
Deep learning in optical metrology: a review C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan, J Han, K Qian, Q Chen Light: Science & Applications 11 (1), 39	2022
Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59	2022
A review of generalized zero-shot learning methods F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, CP Lim, XZ Wang, ... IEEE transactions on pattern analysis and machine intelligence	2022
Recent advances and clinical applications of deep learning in medical image analysis X Chen, X Wang, K Zhang, KM Fung, TC Thai, K Moore, RS Mannel, H Liu, ... Medical Image Analysis 79, 102444	2022
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ... Computers in biology and medicine 135, 104418	2021
UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection M Abdar, S Salari, S Qahremani, HK Lam, F Karray, S Hussain, ... Information Fusion 90, 364-381	2023
Deep learning based synthetic‐CT generation in radiotherapy and PET: a review MF Spadea, M Maspero, P Zaffino, J Seco Medical physics 48 (11), 6537-6566	2021
A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning Y Gu, J Chi, J Liu, L Yang, B Zhang, D Yu, Y Zhao, X Lu Computers in biology and medicine 137, 104806	2021
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons AF Psaros, X Meng, Z Zou, L Guo, GE Karniadakis Journal of Computational Physics 477, 111902	2023
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification M Abdar, MA Fahami, S Chakrabarti, A Khosravi, P Pławiak, UR Acharya, ... Information Sciences 577, 353-378	2021
A review of earth artificial intelligence Z Sun, L Sandoval, R Crystal-Ornelas, SM Mousavi, J Wang, C Lin, ... Computers & Geosciences 159, 105034	2022
Medical deep learning—A systematic meta-review J Egger, C Gsaxner, A Pepe, KL Pomykala, F Jonske, M Kurz, J Li, ... Computer methods and programs in biomedicine 221, 106874	2022
Machine learning for hydrologic sciences: An introductory overview T Xu, F Liang Wiley Interdisciplinary Reviews: Water 8 (5), e1533	2021
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework T Zhou, T Han, EL Droguett Reliability Engineering & System Safety 224, 108525	2022
Diffusion models for implicit image segmentation ensembles J Wolleb, R Sandkühler, F Bieder, P Valmaggia, PC Cattin International Conference on Medical Imaging with Deep Learning, 1336-1348	2022
Bayesian optimization based dynamic ensemble for time series forecasting L Du, R Gao, PN Suganthan, DZW Wang Information Sciences 591, 155-175	2022
Avoiding a replication crisis in deep-learning-based bioimage analysis RF Laine, I Arganda-Carreras, R Henriques, G Jacquemet Nature methods 18 (10), 1136-1144	2021
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review YH Bhosale, KS Patnaik Neural Processing Letters, 1-53	2022

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